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Data Engineer
Location: New York
|
Full-Time
|
$175,000 -
$300,000
SQL
ETL
Data Visualization
Python
Data Cleaning
Data Quality
Networking
Data Engineer
Data Science
**About Jane Street:** Jane Street is a quantitative trading firm that leverages cutting-edge technology to develop elegant solutions that scale well. Our core belief is that building robust and reliable applications should not require developers to manage complex state or worry about underlying infrastructure. We are committed to a user-obsessed culture, emphasizing employee well-being with competitive salaries, equity options, and comprehensive benefits. Our remote-first culture with flexible schedules allows us to collaborate effectively across time zones and locations. **About The Role:** We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do. Using our mix of in-house and open-source software, you will analyze datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights. **Key Responsibilities:** - Analyze datasets gathered from various sources - Check for anomalies and inconsistencies in data - Develop and maintain data pipelines for data ingestion and processing - Design and implement systems for data storage and retrieval - Automate ETL processes to improve data quality and accessibility - Create dashboards and reports to visualize key metrics and trends - Collaborate with data scientists and researchers to provide insights - Ensure data quality and integrity across the organization **Required Skills and Ideal Candidate:** - Proven experience with data engineering principles and practices - Strong programming skills in languages like Python - Experience with SQL and relational databases - Familiarity with data visualization tools and techniques - Meticulous approach to data quality and validation - Clear and concise communication skills to explain complex data findings - Ability to work collaboratively with different teams across the organization - Passion for solving complex problems and improving processes - Experience with cloud platforms (AWS, GCP, Azure) is a plus - Understanding of financial markets and trading systems is a plus but not required
Post Date:
June 27, 2025